Job Description
Strong understanding of Agentic AI architectures, including multi-agent systems, tool orchestration, planning, memory, and feedback loops
- Proven hands-on experience with Generative AI (GenAI) technologies such as LLMs, prompt engineering, RAG, embeddings, and model evaluation
- Ability to support POC development and transition it to production-grade solutions, ensuring scalability, reliability, and maintainability
- Solid expertise in cloud platforms (AWS preferred) including:
- Compute, storage, networking, and security fundamentals
- Managed AI/ML services and MLOps pipelines
- Cloud-native application design (microservices, APIs, containers)
- Experience in deploying, monitoring, and optimizing AI workloads in production environments
- Strong troubleshooting skills with the ability to provide quick, effective solutions to technical challenges during development and deployment
- Knowledge of CI/CD practices, infrastructure as code, and automation for AI applications
- Understanding of performance, cost optimization, compliance, and security considerations for AI solutions
- Ability to collaborate closely with internal teams to:
- Understand POC design and intent
- Identify gaps for production readiness
- Implement best practices and improvements
- Good communication skills to explain technical concepts clearly and support rapid iterations
- Prior experience supporting enterprise-grade AI or cloud solutions is highly preferred
Required SkillsAi/ml,Generative AI (GenAI) ,LLMs, prompt engineering, RAG, embeddings,cloud platforms (AWS),MLOps,Agentic AI
Supported SkillsAgentic AI architectures
